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"au:"Haihan Zhang"" — arXiv2 Search
Showing 1–6 of 6 results
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Feb 13, 2025
Scaling Law for Stochastic Gradient Descent in Quadratically Parameterized Linear Regression
Feb 13, 2025
Optimal Algorithms in Linear Regression under Covariate Shift: On the Importance of Precondition
Sep 15, 2024
The Optimality of (Accelerated) SGD for High-Dimensional Quadratic Optimization
May 28, 2025
Learning Curves of Stochastic Gradient Descent in Kernel Regression
Oct 14, 2025
Reliable Fine-Grained Evaluation of Natural Language Math Proofs
Oct 12, 2022
Bregman Divergence-Based Data Integration with Application to Polygenic Risk Score (PRS) Heterogeneity Adjustment